The Evaluation of a practical biomechanical model estimating lumbar moments in occupational activities

<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<rdf:Description>
<dc:creator>De Looze, M.P.</dc:creator>
<dc:date>1994-09-01</dc:date>
<dc:description xml:lang="es">Sumario: To estimate the mechanical load on the low back in manual materials handling, the Static Strength Prediction Model (SSPM, University of Michigan) is widely used in the occupational field. It requires only a small number of input variables on which basis the moment at the lumbo-sacral intervertebral joint is computed. The dynamic character of the activities is ignored in the calculations. To evaluate the validity of the SSPM in various situations, lumbar moments in lifting/lowering activities at different lifting techniques and speeds obtained by the SSPM, were compared with those obtained by a more comprehensive dynamic model</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/49102.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Ergonomía</dc:subject>
<dc:subject xml:lang="es">Trabajo físico</dc:subject>
<dc:subject xml:lang="es">Columna vertebral</dc:subject>
<dc:subject xml:lang="es">Biomecánica</dc:subject>
<dc:subject xml:lang="es">Dinamometría</dc:subject>
<dc:subject xml:lang="es">Modelos analíticos</dc:subject>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">The Evaluation of a practical biomechanical model estimating lumbar moments in occupational activities</dc:title>
<dc:title xml:lang="es">Título: Ergonomics</dc:title>
<dc:relation xml:lang="es">En: Ergonomics. - London and Washington. - Vol. 37, nº 9, September 1994 ; p. 1495-1502</dc:relation>
</rdf:Description>
</rdf:RDF>